Inception-V3, proposed by Google in [1]}, is a widely-used image recognition model. It consists of symmetric and asymmetric building blocks, including convolutions, average pooling, max pooling, dropouts, and fully connected layers. Batch normalisation is used extensively throughout the model and applied to activation inputs. The network is 48 layers deep with a total of \(23.8\)  million parameters.
